Instructions to use cambridge-climb/baseline-roberta_pre_layer_norm-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cambridge-climb/baseline-roberta_pre_layer_norm-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cambridge-climb/baseline-roberta_pre_layer_norm-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cambridge-climb/baseline-roberta_pre_layer_norm-model") model = AutoModelForMaskedLM.from_pretrained("cambridge-climb/baseline-roberta_pre_layer_norm-model") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot